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Evaluation of a 3D serious game for advanced life support retraining
Fabio Buttussi1, Tommaso Pellis, Alberto Cabas Vidani
1Human-Computer Interaction Lab, Department of Mathematics and Computer Science, University of Udine, Italy. fabio.buttussi@uniud.it
Objective:
Advanced life support (ALS) knowledge and skills decrease in as little as three months, but only a few ALS providers actually attend retraining courses. We assess the effectiveness of a 3D serious game as a new tool for frequent ALS retraining.
Methods:
We developed a 3D serious game for scenario-based ALS retraining. The serious game, called EMSAVE, was designed to promote self-correction while playing. We organized a retraining course in which 40 ALS providers played two cardiac arrest scenarios with EMSAVE and took a test with 38 multiple-choice questions before and after playing. We administered the same test again 3 months later to evaluate retention. Participants also rated EMSAVE and the overall retraining experience.
Results:
After using EMSAVE, the number of correct answers per participant increased by 4.8 (95%CI +3.4, +6.2, p<0.001) and all but one participant improved. After 3 months, despite an expected decrease in ALS knowledge and skills (-1.9 correct answers, 95%CI -0.6, -3.3, p<0.01), there was a significant retention benefit (+2.9 correct answers per participant, 95%CI +1.5, +4.2, p<0.001). Moreover, all but one participant regarded EMSAVE as a valuable tool to refresh ALS knowledge and skills, and 85% of participants were also willing to devote 1h/month to retrain with the serious game.
Conclusions:
A 3D serious game for scenario-based retraining proved effective to retrain in ALS and supported retention of acquired knowledge and skills at 3 months. EMSAVE also positively engaged and motivated participants.
